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Slicing and Dicing: Configuring Optimal Mixtures of Experts

cs.LG · 2026-05-12 · accept · novelty 7.0

Large-scale empirical sweep shows MoE quality improves with total parameters even at high active-to-total ratios, optimal expert granularity depends only on active parameters, and most other design choices have small effects.

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  • Slicing and Dicing: Configuring Optimal Mixtures of Experts cs.LG · 2026-05-12 · accept · none · ref 4

    Large-scale empirical sweep shows MoE quality improves with total parameters even at high active-to-total ratios, optimal expert granularity depends only on active parameters, and most other design choices have small effects.